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A Brain-Machine Interface Based on ERD/ERS for an Upper-Limb Exoskeleton Control

To recognize the user’s motion intention, brain-machine interfaces (BMI) usually decode movements from cortical activity to control exoskeletons and neuroprostheses for daily activities. The aim of this paper is to investigate whether self-induced variations of the electroencephalogram (EEG) can be...

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Autori principali: Zhichuan Tang, Shouqian Sun, Sanyuan Zhang, Yumiao Chen, Chao Li, Shi Chen
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2016-12-01
Serie:Sensors
Soggetti:
BMI
ERD
ERS
upper-limb exoskeleton
motor imagery
motor execution
Accesso online:http://www.mdpi.com/1424-8220/16/12/2050
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